Gartner (IT) Total Non-Current Liabilities (2009 - 2026)
Gartner (IT) recorded Total Non-Current Liabilities of $6.9 billion in Q2 2026, up 8.3% from $6.37 billion a year earlier but down 3.4% from the prior quarter.
Gartner (IT) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gartner reported Total Non-Current Liabilities of $7.32 billion, up 8.1% from FY2024.
- Annual Total Non-Current Liabilities has increased for five straight years, with a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $6.77 billion in FY2024 (+0.4%), $6.74 billion in FY2023 (+1.4%), $6.65 billion in FY2022 (+1.8%) and $6.53 billion in FY2021 (+14.9%).
- Quarterly Total Non-Current Liabilities has ranged from $6.1 billion in Q3 2021 to $7.32 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 3.0% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 15.9% in Q3 2021, against a decline of 2.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.14 billion (Q1 2026), $7.32 billion (Q4 2025) and $6.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | Tetra Tech | 8.44 Bn | 7.55 Bn | 243.21 Mn | 2.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.90 Bn |
| Mar 31, 2026 | 7.14 Bn |
| Dec 31, 2025 | 7.32 Bn |
| Sep 30, 2025 | 6.25 Bn |
| Jun 30, 2025 | 6.37 Bn |
| Mar 31, 2025 | 6.58 Bn |
| Dec 31, 2024 | 6.77 Bn |
| Sep 30, 2024 | 6.38 Bn |
| Jun 30, 2024 | 6.39 Bn |
| Mar 31, 2024 | 6.59 Bn |
| Dec 31, 2023 | 6.74 Bn |
| Sep 30, 2023 | 6.29 Bn |
| Jun 30, 2023 | 6.34 Bn |
| Mar 31, 2023 | 6.48 Bn |
| Dec 31, 2022 | 6.65 Bn |
| Sep 30, 2022 | 6.16 Bn |
| Jun 30, 2022 | 6.28 Bn |
| Mar 31, 2022 | 6.39 Bn |
| Dec 31, 2021 | 6.53 Bn |
| Sep 30, 2021 | 6.10 Bn |
Gartner Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "IT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();